A convenient way to observe the behavior of a dynamic model is to observe "snapshots" of the model over time. This can be done by observing a model's "state" space. That is, what is the current status of the servers and number of cars in the model? We shall see that for our model there are a finite number of states to consider. This number or dimensional characteristic of our model can be overcome in a limited way by our computer approach. We also seek the steady-state probability of each of these states. The "steady-state" probabilities are independent of the time when the "snapshots" are observed. In effect, the model has had enough time to warm up and has reached a "steady" state.